Psychiatry Investig.  2025 May;22(5):552-563. 10.30773/pi.2025.0033.

Network Structure of Depression and Anxiety Symptoms in Older Asian Patients With Depressive Disorders: Findings From REAP-AD3

Affiliations
  • 1Department of Psychiatry, Hanyang University College of Medicine, Seoul, Republic of Korea
  • 2Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea
  • 3Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea
  • 4Workplace Mental Health Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
  • 5Department of Psychology, Ajou University, Suwon, Republic of Korea
  • 6The School of Human Sciences, Texas Women’s University, Denton, TX, United States
  • 7Department of Premedicine, Hanyang University College of Medicine, Seoul, Republic of Korea
  • 8Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), Beijing, China
  • 9Pushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla and Mar Sleeva Medicity, Palai, India
  • 10Department of Psychiatry, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
  • 11Mental Health Research Centre, Psychosocial Health Research Institute, Department of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
  • 12Department of Psychiatry & Mental Health, Tunku Abdul Rahman Institute of Neurosciences, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia
  • 13Pakistan Psychiatric Research Centre, Fountain House, Lahore, Pakistan
  • 14Institute of Mental Health, Buangkok Green Medical Park, Singapore
  • 15Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
  • 16Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
  • 17Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
  • 18Taipei City Hospital and Psychiatric Centre, Taipei, Taiwan
  • 19School of Human Sciences, Seinan Gakuin University, Fukuoka, Japan
  • 20Association for the Improvement of Mental Health Programs, Geneva, Switzerland

Abstract


Objective
The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism.
Methods
We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test.
Results
Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness).
Conclusion
This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Keyword

Age; Ageism; Anxiety; Asian patients; Depression; Network analysis
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